{"id":"https://openalex.org/W3207035545","doi":"https://doi.org/10.1109/access.2021.3119560","title":"Automatic Clustering of DNA Sequences With Intelligent Techniques","display_name":"Automatic Clustering of DNA Sequences With Intelligent Techniques","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3207035545","doi":"https://doi.org/10.1109/access.2021.3119560","mag":"3207035545"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3119560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568887.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568887.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046088415","display_name":"Yasmin A. Badr","orcid":"https://orcid.org/0000-0002-9918-801X"},"institutions":[{"id":"https://openalex.org/I186217134","display_name":"Future University in Egypt","ror":"https://ror.org/03s8c2x09","country_code":"EG","type":"education","lineage":["https://openalex.org/I186217134"]},{"id":"https://openalex.org/I4210151980","display_name":"Badr University in Cairo","ror":"https://ror.org/04tbvjc27","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210151980"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Yasmin A. Badr","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt. (e-mail: yasmin.badr@fue.edu.eg)","Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-9918-801X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt. (e-mail: yasmin.badr@fue.edu.eg)","institution_ids":["https://openalex.org/I186217134","https://openalex.org/I4210151980"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt","institution_ids":["https://openalex.org/I186217134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027622725","display_name":"Khaled Wassif","orcid":"https://orcid.org/0000-0002-7401-5219"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Khaled T. Wassif","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7401-5219","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077676826","display_name":"Mahmoud Othman","orcid":"https://orcid.org/0000-0001-9240-7593"},"institutions":[{"id":"https://openalex.org/I186217134","display_name":"Future University in Egypt","ror":"https://ror.org/03s8c2x09","country_code":"EG","type":"education","lineage":["https://openalex.org/I186217134"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mahmoud Othman","raw_affiliation_strings":["Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-9240-7593","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Computers and Information Technology, Future University, Cairo, Egypt","institution_ids":["https://openalex.org/I186217134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4071,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59914596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"140686","last_page":"140699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.750781774520874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163999676704407},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5231203436851501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47458362579345703},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4737818241119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44894951581954956},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43741345405578613},{"id":"https://openalex.org/keywords/wilcoxon-signed-rank-test","display_name":"Wilcoxon signed-rank test","score":0.4280232787132263},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4184328019618988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39799508452415466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36865025758743286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2723483443260193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17554908990859985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14096182584762573}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.750781774520874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163999676704407},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5231203436851501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47458362579345703},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4737818241119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44894951581954956},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43741345405578613},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.4280232787132263},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4184328019618988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39799508452415466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36865025758743286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2723483443260193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17554908990859985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14096182584762573},{"id":"https://openalex.org/C12868164","wikidata":"https://www.wikidata.org/wiki/Q1424533","display_name":"Mann\u2013Whitney U test","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3119560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568887.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:628c5ad3a4674795bbd3b7da7f93599f","is_oa":true,"landing_page_url":"https://doaj.org/article/628c5ad3a4674795bbd3b7da7f93599f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 140686-140699 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3119560","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3119560","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09568887.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207035545.pdf","grobid_xml":"https://content.openalex.org/works/W3207035545.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W117385563","https://openalex.org/W1502677500","https://openalex.org/W1528733273","https://openalex.org/W1558758677","https://openalex.org/W1596914020","https://openalex.org/W1888189441","https://openalex.org/W1982813345","https://openalex.org/W1992454348","https://openalex.org/W1995875735","https://openalex.org/W2040929534","https://openalex.org/W2071965987","https://openalex.org/W2073849744","https://openalex.org/W2076408892","https://openalex.org/W2085283640","https://openalex.org/W2096166399","https://openalex.org/W2109364787","https://openalex.org/W2118697391","https://openalex.org/W2120136896","https://openalex.org/W2138810473","https://openalex.org/W2140190241","https://openalex.org/W2219898335","https://openalex.org/W2288905944","https://openalex.org/W2325193626","https://openalex.org/W2553835814","https://openalex.org/W2559422900","https://openalex.org/W2591678664","https://openalex.org/W2606926586","https://openalex.org/W2610222147","https://openalex.org/W2729840144","https://openalex.org/W2765572224","https://openalex.org/W2769360088","https://openalex.org/W2784284536","https://openalex.org/W2901418331","https://openalex.org/W2963103847","https://openalex.org/W2968036153","https://openalex.org/W2969115586","https://openalex.org/W2996095076","https://openalex.org/W3002566578","https://openalex.org/W3038588646","https://openalex.org/W3094704314","https://openalex.org/W3114279822","https://openalex.org/W3121417152","https://openalex.org/W3135862812","https://openalex.org/W3136399425","https://openalex.org/W3174452951","https://openalex.org/W6677603043","https://openalex.org/W6733844638","https://openalex.org/W6788861479","https://openalex.org/W6791174086","https://openalex.org/W6791959820"],"related_works":["https://openalex.org/W3085397617","https://openalex.org/W2100132513","https://openalex.org/W2137444486","https://openalex.org/W2434800423","https://openalex.org/W4299900939","https://openalex.org/W2014360508","https://openalex.org/W2562788565","https://openalex.org/W4233250986","https://openalex.org/W2098223125","https://openalex.org/W4243211884"],"abstract_inverted_index":{"With":[0],"the":[1,43,51,57,75,80,85,94,116,123,127,139,152,158,169,180,185,193,201,210,225],"discovery":[2],"of":[3,30,42,59,84,93,129,141],"new":[4,104],"DNAs,":[5],"a":[6,28,70,88,103],"fundamental":[7],"problem":[8],"arising":[9],"is":[10,61,91,109,136,149,220],"how":[11],"to":[12,66,114,121,156,213,222],"categorize":[13],"those":[14],"DNA":[15,89,142],"sequences":[16],"into":[17,32],"correct":[18],"species.":[19],"Unfortunately,":[20],"identifying":[21],"all":[22],"data":[23,52,160],"groups":[24],"correctly":[25],"and":[26,56,64,77,82,120,197],"assigning":[27],"set":[29],"DNAs":[31],"k":[33,36],"clusters":[34,60],"where":[35],"must":[37],"be":[38],"predefined":[39],"are":[40,166],"one":[41,92],"major":[44],"drawbacks":[45],"in":[46,87,97],"clustering":[47,113,161],"analysis,":[48],"especially":[49],"when":[50],"have":[53],"many":[54],"dimensions":[55],"number":[58,128],"too":[62],"large":[63],"hard":[65],"guess.":[67],"Furthermore,":[68],"finding":[69],"similarity":[71,144],"measure":[72],"that":[73,184],"preserves":[74],"functionality":[76],"represents":[78],"both":[79],"composition":[81],"distribution":[83],"bases":[86],"sequence":[90,143],"main":[95],"challenges":[96],"computational":[98,164],"biology.":[99],"In":[100],"this":[101],"paper,":[102],"soft":[105],"computing":[106],"metaheuristic":[107],"framework":[108],"introduced":[110],"for":[111,126,138],"automatic":[112,159],"generate":[115],"optimal":[117],"cluster":[118],"formation":[119],"determine":[122],"best":[124],"estimate":[125],"clusters.":[130,227],"Pulse":[131],"coupled":[132],"neural":[133],"network":[134],"(PCNN)":[135],"utilized":[137],"calculation":[140],"or":[145],"dissimilarity.":[146],"Bat":[147],"algorithm":[148,155,188,196],"hybridized":[150],"with":[151,206],"well-known":[153],"genetic":[154,195],"solve":[157],"problem.":[162],"Extensive":[163],"experiments":[165],"conducted":[167,221],"on":[168],"expanded":[170],"human":[171],"oral":[172],"microbiome":[173],"database":[174],"(eHOMD).":[175],"A":[176],"comparative":[177],"study":[178],"between":[179],"experimental":[181],"results":[182],"shows":[183],"proposed":[186],"hybrid":[187,202],"achieved":[189],"superior":[190],"performance":[191,203],"over":[192],"standard":[194],"bat":[198],"algorithm.":[199],"Moreover,":[200],"was":[204],"compared":[205],"competing":[207],"algorithms":[208],"from":[209],"literature":[211],"review":[212],"ascertain":[214],"its":[215],"superiority.":[216],"Mann-Whitney-Wilcoxon":[217],"rank-sum":[218],"test":[219],"statistically":[223],"validate":[224],"obtained":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
